Mariya Dimitrova

982 total citations · 1 hit paper
17 papers, 629 citations indexed

About

Mariya Dimitrova is a scholar working on Aerospace Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Mariya Dimitrova has authored 17 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 5 papers in Control and Systems Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Mariya Dimitrova's work include Wind Energy Research and Development (5 papers), Hybrid Renewable Energy Systems (4 papers) and Icing and De-icing Technologies (3 papers). Mariya Dimitrova is often cited by papers focused on Wind Energy Research and Development (5 papers), Hybrid Renewable Energy Systems (4 papers) and Icing and De-icing Technologies (3 papers). Mariya Dimitrova collaborates with scholars based in Canada, Lebanon and United States. Mariya Dimitrova's co-authors include Adrian Ilinca, Hussein Ibrahim, Sasan Sattarpanah Karganroudi, Khaled Ziane, Jean Perron, Hussein Ibrahim, Rafic Younès, Mehdi Adda, Ahmad Aminzadeh and Hossein Taheri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Energy.

In The Last Decade

Mariya Dimitrova

17 papers receiving 588 citations

Hit Papers

On Predictive Maintenance in Industry 4.0: Overview, Mode... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges
    2022 219 citations Mariya Dimitrova, Khaled Ziane et al. Applied Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mariya Dimitrova Canada 11 211 177 145 120 93 17 629
Antonio Correcher Spain 14 322 1.5× 254 1.4× 75 0.5× 94 0.8× 87 0.9× 61 759
Konstantin Suslov Russia 19 794 3.8× 357 2.0× 341 2.4× 182 1.5× 136 1.5× 178 1.1k
Simone Arena Italy 14 77 0.4× 100 0.6× 214 1.5× 52 0.4× 98 1.1× 28 655
Hengrui Ma China 13 389 1.8× 154 0.9× 125 0.9× 61 0.5× 52 0.6× 65 709
S. Savio Italy 12 120 0.6× 187 1.1× 69 0.5× 25 0.2× 140 1.5× 41 547
Yujiong Gu China 12 290 1.4× 136 0.8× 207 1.4× 55 0.5× 20 0.2× 52 631
Jiawei Liu China 13 648 3.1× 237 1.3× 73 0.5× 46 0.4× 65 0.7× 56 937
Kun Ding China 17 574 2.7× 216 1.2× 41 0.3× 70 0.6× 78 0.8× 74 1.0k
Yuguang Niu China 20 666 3.2× 507 2.9× 263 1.8× 145 1.2× 18 0.2× 92 1.3k

Countries citing papers authored by Mariya Dimitrova

Since Specialization
Citations

This map shows the geographic impact of Mariya Dimitrova's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mariya Dimitrova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariya Dimitrova more than expected).

Fields of papers citing papers by Mariya Dimitrova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariya Dimitrova. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mariya Dimitrova. The network helps show where Mariya Dimitrova may publish in the future.

Co-authorship network of co-authors of Mariya Dimitrova

This figure shows the co-authorship network connecting the top 25 collaborators of Mariya Dimitrova. A scholar is included among the top collaborators of Mariya Dimitrova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mariya Dimitrova. Mariya Dimitrova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Dimitrova, Mariya, et al.. (2024). Classifying disaster risk reduction strategies: conceptualizing and testing a novel integrated approach. Globalization and Health. 20(1). 7–7. 4 indexed citations
2.
Dimitrova, Mariya, Hussein Ibrahim, Mehdi Adda, et al.. (2023). Predictive Maintenance and Fault Monitoring Enabled by Machine Learning: Experimental Analysis of a TA-48 Multistage Centrifugal Plant Compressor. Applied Sciences. 13(3). 1790–1790. 22 indexed citations
3.
Aminzadeh, Ahmad, Mariya Dimitrova, Sasan Sattarpanah Karganroudi, et al.. (2023). Non-Contact Inspection Methods for Wind Turbine Blade Maintenance: Techno–Economic Review of Techniques for Integration with Industry 4.0. Journal of Nondestructive Evaluation. 42(2). 18 indexed citations
4.
Dimitrova, Mariya, et al.. (2022). A Survey on Non-Destructive Smart Inspection of Wind Turbine Blades Based on Industry 4.0 Strategy. SHILAP Revista de lepidopterología. 3(4). 1299–1326. 30 indexed citations
5.
Karganroudi, Sasan Sattarpanah, et al.. (2022). A novel assembly process guidance using augmented reality for a standalone hybrid energy system. The International Journal of Advanced Manufacturing Technology. 122(7-8). 3425–3445. 8 indexed citations
6.
Dimitrova, Mariya, et al.. (2022). On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges. Applied Sciences. 12(16). 8081–8081. 219 indexed citations breakdown →
7.
Ziane, Khaled, Adrian Ilinca, Sasan Sattarpanah Karganroudi, & Mariya Dimitrova. (2021). Neural Network Optimization Algorithms to Predict Wind Turbine Blade Fatigue Life under Variable Hygrothermal Conditions. SHILAP Revista de lepidopterología. 2(3). 278–295. 15 indexed citations
8.
Ibrahim, Hussein, Mariya Dimitrova, Yvan Dutil, et al.. (2012). Wind-Diesel hybrid system: energy storage system selection method. Constellation (Université du Québec à Chicoutimi). 12 indexed citations
9.
Ibrahim, Hussein, et al.. (2011). Integration of Wind Energy into Electricity Systems: Technical Challenges and Actual Solutions. Energy Procedia. 6. 815–824. 85 indexed citations
10.
Dimitrova, Mariya, et al.. (2011). Evaluation and Mitigation of Ice Accretion Effects on Wind Turbine Blades. 1 indexed citations
11.
Dimitrova, Mariya, Hussein Ibrahim, Geneviève Fortin, Adrian Ilinca, & Jean Perron. (2011). Software tool to predict the Wind Energy production losses due to icing. Espace ÉTS (ETS). 10 indexed citations
12.
Ibrahim, Hussein, et al.. (2011). Optimization of diesel engine performances for a hybrid wind–diesel system with compressed air energy storage. Energy. 36(5). 3079–3091. 77 indexed citations
13.
Ibrahim, Hussein, et al.. (2011). Potential of a Hybrid Wind-Diesel-Compressed air system for Nordic Remote Canadian Areas. Energy Procedia. 6. 795–804. 20 indexed citations
14.
Ilinca, Adrian, et al.. (2010). Review of the impacts of intermittent wind power integration into electricity systems : technical problems and proposed solutions. 2 indexed citations
15.
Ibrahim, Hussein, Mariya Dimitrova, Adrian Ilinca, & Jean Perron. (2009). Système hybride éolien-diesel avec stockage d'air comprimé pour l'électrification d'une station de télécommunications isolée. Espace ÉTS (ETS). 12(5-6). 701–731. 4 indexed citations
16.
Ibrahim, Hussein, Rafic Younès, Adrian Ilinca, Mariya Dimitrova, & Jean Perron. (2009). Study and design of a hybrid wind–diesel-compressed air energy storage system for remote areas. Applied Energy. 87(5). 1749–1762. 99 indexed citations
17.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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